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509 articles for “detection”
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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Design and Implementation of a Smart Surveillance and Automation System for Patients
Abstract: Patient negligence and harassment have become a common phenomenon now-a-days. To reduce this incident “Smart Surveillance and Automation system for patient” have been built. The system’s aim is to provide the patient security while maintain the patient’s privacy as well as provide an automated bed at a cheap price. This surveillance system starts recording once it detects a face and it also has a facial expression recognition system installed that …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 2, 2020 · pp. 9–17 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Nanotechnology: Revolutionizing the World of Sensors
Abstract: Sensors are ubiquitous in modern society, playing critical roles in fields ranging fromenvironmental monitoring and healthcare diagnostics to industrial automation and food safety.However, traditional sensor technologies often face limitations in response time, sensitivity, andspecificity, hindering their effectiveness in applications demanding rapid and precise detection.Nanotechnology offers a powerful toolbox to overcome these challenges, enabling thedevelopment of advanced sensors with unprecedented performance. This article explores thetransformative impact of nanotechnology on sensor technology, …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article
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Automated Diagnosis and Drug Delivery System for Colon Cancer Using Biosensors and Nanostructures
Abstract: Colorectal cancer stands as a significant global health challenge, necessitating innovative approaches for early detection and effective treatment. This paper presents a novel framework for addressing this challenge by integrating biosensors with nano materials and nano structures to create an automated system for colon cancer diagnosis and treatment. The proposed system leverages the unique properties of biosensors for real-time disease detection and the advanced capabilities of nano materials and nano …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 · pp. 10–23 Read article
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A Review Study on the Development of a City into a Smart City
Abstract: Today’s industrial environments are moving toward automation. This results in improving item quality, accuracy, productivity and to diminish item cost. Error identification of products is an exceptionally troublesome modern process. Persistent manual detection generates consistency issues. The purpose of this project was to design and fabricate a working prototype for an automatic error detector machine. It demonstrates the idea of an ordinary conveyor belt, but with some intelligence. This main …
Published in International Journal of Town Planning and Management · Vol. 4, Issue 1, 2018 · pp. 35–41 Read article
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Turn-On” Fluorescence Sensing of Bilirubin Using Water-Soluble Conjugated Polymer
Abstract: Early detection of bilirubin is important to detect jaundice and hepatitis disease at the early stage. Currently, there is no fast method available to detect bilirubin level directly in the presence of crucial interference. This report presents a novel water-soluble poly(fluorenes-alt-benzothiadiazole) for turnon sensing of bilirubin in water and human blood serum. The probe is the water-soluble conjugated polymer poly(fluorenes-alt-benzothiadiazole) functionalized with a D-glucuronic acid named PF-BTGlcA. D-glucuronic acid acts …
Published in International Journal of Analytical and Applied Chemistry · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Analytical Development of Electrochemical Biosensors for Real-Time Monitoring of Environmental Contaminants
Abstract: The increasing awareness of environmental pollution has necessitated the development of efficient monitoring systems for the detection and quantification of contaminants. Electrochemical biosensors have emerged as powerful tools due to their high sensitivity, rapid response, and cost-effectiveness. This paper reviews recent advancements in the development of electrochemical biosensors specifically designed for real-time monitoring of environmental contaminants. The design and fabrication of electrochemical biosensors involve the integration of biological recognition elements …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Image Processing Based Robot Control
Abstract: We all know that object detection is a well-researched technology and is related to computer vision and image processing deals with detecting instances of semantic objects. It has got some real-world applications such as smart-home automation, etc. Detection of a particular object by the computer’s camera is an important aspect. Recent image-controlled robots operate with humans next to them. Whereas, our project deals with interface of robots through image-controlled technique, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 4–13 Read article
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Denoising of Computer Tomography images using Wavelet based Multiple Thresholds Switching (WMTS) filter
Abstract: Computer Topography images are often corrupted by salt and pepper noise during image acquisition and /or transmission, reconstruction due to a number of non-idealities encountered in image sensors and communication channels. Noise is considered to be the number one limiting factor of CT image quality. A novel decision-based filter, called the wavelet based multiple thresholds switching (WMTS) filter, is used to restore images corrupted by salt-pepper impulse noise. The filter …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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Green and Nanotechnology Approaches for the Determination of Tungsten (VI): A Modern Analytical Perspective
Abstract: The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–35 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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Fungal-Mediated Myco-Nanoparticle Synthesis Using Fusarium Species
Abstract: Green synthesis of nanoparticles is a developing technology known for its safe and environmentally friendly approach. Fungi possess essential features in fabricating biogenic nanoparticles of different metals due to their enzymatic capabilities. Myconanoparticles derived from Fusarium species are synthesized in multiple stages. The most utilized species for nanoparticle creation are Fusarium oxysporum and Fusarium solani. This study aims to investigate the growth and conduct microscopic inspection of Fusarium sp. The …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 8–17 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article